Master of Science 2013-2014

Computational Finance

Complete a minimum of 52 graduate credit hours in addition to any
required introductory courses of the designated degree program.

Complete all graduate courses and requirements listed in the designated degree program.

Earn a grade of B- or better in each introductory course of the designated degree program.

Earn a grade of C- or better in all courses beyond the introductory courses of the designated degree program.

Maintain a cumulative GPA of 2.5 or higher.

Students pursuing a second (or more) graduate degree may not double count or retake any course that applied toward the completion of a prior graduate degree. If a required course in the second degree was already completed and applied toward a previous degree, the student must meet with a faculty advisor to discuss a new course to be completed and substituted in the new degree. This rule also applies to cross-listed courses, which are considered to be the same course but offered under different subjects.

Students pursuing a second master's degree must complete a minimum of 52* graduate credit hours beyond their first designated degree program in
addition to any required introductory courses in their second designated
degree program.

*53 graduate credit hours required for MS Information Systems.

Students with a GPA of 3.9 or higher will graduate with distinction.

For DePaul's policy on repeat graduate courses and a complete list of academic policies see the DePaul Graduate Handbook in the Course Catalog.

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Course Requirements

CourseRequirements

Introductory Courses
No Introductory course (a course numbered 400 through 419) may be substituted for any other course at any level.

Introductory courses may be waived for any of the following conditions:

The student has the appropriate course work to satisfy an Introductory Course.

The student has appropriate and verified professional experience to satisfy an Introductory Course.

The student passes a Graduate Assessment Examination (GAE) in the Introductory Course area.

CSC 401 Introduction to Programming

CSC 404 Accelerated C++

IT 403 Statistics and Data Analysis

CSC 412 Tools and Techniques for Computational Analysis

CDM Foundation Courses

CSC 423 Data Analysis and Regression

CSC 425 Time Series Analysis and Forecasting

CSC 431 Scientific Computing

orCSC 485 Numerical Analysis

CSC 521 Monte Carlo Algorithms

Kellstadt Foundation Courses

ACC 500 Financial Accounting

ECO 555 Economics for Decision-Making

FIN 555 Financial Management

FIN 523 Investment Analysis

FIN 525 Portfolio Management

FIN 562 Risk Management

FIN 662 Derivatives Valuation

Advanced Courses

CSC 695 Master's Research

orCSC 697 Graduate Internship

orCSC 559 Software Engineering for Financial Markets

Major Elective Courses

Students must take 1 500-level course at CDM, Kellstadt, or the Department of Math.